(19)
(11) EP 0 714 062 A3

(12) EUROPEAN PATENT APPLICATION

(88) Date of publication A3:
29.10.1997 Bulletin 1997/44

(43) Date of publication A2:
29.05.1996 Bulletin 1996/22

(21) Application number: 95308137.9

(22) Date of filing: 14.11.1995
(51) International Patent Classification (IPC)6G06F 9/46
(84) Designated Contracting States:
DE ES FR GB IT

(30) Priority: 23.11.1994 US 344268

(71) Applicant: AT&T Corp.
New York, NY 10013-2412 (US)

(72) Inventors:
  • Choudhury, Gagan Lal
    Aberdeen, New Jersey 07747 (US)
  • Whitt, Ward
    Basking Ridge, New Jersey 07920 (US)
  • Leung, Kin K.
    Edison, New Jersey 08820 (US)

(74) Representative: Johnston, Kenneth Graham et al
AT&T (UK) Ltd. 5 Mornington Road
Woodford Green Essex, IG8 OTU
Woodford Green Essex, IG8 OTU (GB)

   


(54) Method for providing multiple grades of service with protection against overloads in a shared resources system


(57) Techniques for (a) controlling admission of customers to a shared resource, (b) adjusting the capacity of a resource in light of new customer demand, and (c) diverting usage from a failed resource to alternative resources, each use a "blocking probability computer" (BPC) to solve a resource-sharing model that has a product-form steady-state distribution. The techniques allow each customer to obtain an appropriate grade of service and protection against overloads from other customers. Each customer is a source of a series of requests, and is assigned "upper-limit" (UL) and "guaranteed-minimum" (GM) "bounds" on its requests. The upper limit bound puts an upper limit on the number of requests from that customer that can be in service at any time. The guaranteed-minimum bound guarantees that there will always be available resource units in the resources to serve a specified number of requests from that customer. The desired blocking probabilities are directly expressed in terms of normalization constants appearing in the product-form steady-state distribution. The BPC computes the normalization constants by first constructing the generating function (or z-transform) of the normalizing constant and then numerically inverting the generating function.







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